Collaboration brings triage AI to chest X-rays for prompt emergency care

Lunit, a South Korean developer of deep-learning diagnostics, is collaborating with Samsung Healthcare to integrate artificial intelligence into X-ray devices for improved accuracy and screening time. 

The collaboration is focused mostly on the use of X-ray in emergency and intensive care settings, with the chest screening application provided by Lunit designed to spot lung abnormalities in X-ray images, including cancer and pneumonia. Samsung X-ray devices will also have a triage software installed, which utilizes Lunit’s AI to flag prespecified critical findings, such as pleural effusion and pneumothorax, and send the details to the hospital PACS for prompt review by a radiologist. 

"The synergy between Lunit and Samsung Electronics will enable faster, more accurate chest screenings, leading to timely interventions and improved patient outcomes. We’re excited about the potential this partnership holds for advancing chest X-ray practices, particularly in ICUs and ERs,” Brandon Suh, CEO of Lunit said in a statement

The collaboration is signed for a three year agreement, and will see X-ray devices in the U.S., Canada, and Europe enhanced with AI, with plans to spread elsewhere in the future.

Chad Van Alstin Health Imaging Health Exec

Chad is an award-winning writer and editor with over 15 years of experience working in media. He has a decade-long professional background in healthcare, working as a writer and in public relations.

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.